I’m a data scientist with a strong academic foundation in economics and data science and more than four years of hands-on experience delivering ML-driven solutions in consulting, healthcare, and global development. I’ve built and deployed models for large-scale geospatial mobility analytics, credit scoring, computer-vision-based road-safety evaluation, and cost forecasting, working end-to-end with Python, AWS, and modern ML toolchains. My background spans The World Bank, Novartis, and BCG, where I’ve solved real-world problems using machine learning, optimization, and statistical modeling. I’m skilled in Python, AWS, SQL, and geospatial tooling, and I’m comfortable working with large datasets and production-oriented pipelines.
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